Correlation Between Apple and MOVIE GAMES
Can any of the company-specific risk be diversified away by investing in both Apple and MOVIE GAMES at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Apple and MOVIE GAMES into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Apple Inc and MOVIE GAMES SA, you can compare the effects of market volatilities on Apple and MOVIE GAMES and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Apple with a short position of MOVIE GAMES. Check out your portfolio center. Please also check ongoing floating volatility patterns of Apple and MOVIE GAMES.
Diversification Opportunities for Apple and MOVIE GAMES
-0.8 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Apple and MOVIE is -0.8. Overlapping area represents the amount of risk that can be diversified away by holding Apple Inc and MOVIE GAMES SA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on MOVIE GAMES SA and Apple is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Apple Inc are associated (or correlated) with MOVIE GAMES. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of MOVIE GAMES SA has no effect on the direction of Apple i.e., Apple and MOVIE GAMES go up and down completely randomly.
Pair Corralation between Apple and MOVIE GAMES
Assuming the 90 days trading horizon Apple Inc is expected to generate 0.68 times more return on investment than MOVIE GAMES. However, Apple Inc is 1.47 times less risky than MOVIE GAMES. It trades about 0.1 of its potential returns per unit of risk. MOVIE GAMES SA is currently generating about -0.3 per unit of risk. If you would invest 20,670 in Apple Inc on September 2, 2024 and sell it today you would earn a total of 1,725 from holding Apple Inc or generate 8.35% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Apple Inc vs. MOVIE GAMES SA
Performance |
Timeline |
Apple Inc |
MOVIE GAMES SA |
Apple and MOVIE GAMES Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Apple and MOVIE GAMES
The main advantage of trading using opposite Apple and MOVIE GAMES positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Apple position performs unexpectedly, MOVIE GAMES can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in MOVIE GAMES will offset losses from the drop in MOVIE GAMES's long position.The idea behind Apple Inc and MOVIE GAMES SA pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.MOVIE GAMES vs. Apple Inc | MOVIE GAMES vs. Apple Inc | MOVIE GAMES vs. Apple Inc | MOVIE GAMES vs. Apple Inc |
Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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